An electrophysiological marker of arousal level in humans

eLife, Journal Year: 2020, Volume and Issue: 9

Published: July 28, 2020

Deep non-rapid eye movement sleep (NREM) and general anesthesia with propofol are prominent states of reduced arousal linked to the occurrence synchronized oscillations in electroencephalogram (EEG). Although rapid (REM) is also associated diminished levels, it characterized by a desynchronized, ‘wake-like’ EEG. This observation implies that not necessarily only defined synchronous oscillatory activity. Using intracranial surface EEG recordings four independent data sets, we demonstrate 1/f spectral slope electrophysiological power spectrum, which reflects non-oscillatory, scale-free component neural activity, delineates wakefulness from anesthesia, NREM REM sleep. Critically, discriminates solely based on neurophysiological brain state. Taken together, our findings describe common marker tracks arousal, including different stages as well humans.

Language: Английский

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Behavior needs neural variability

Neuron, Journal Year: 2021, Volume and Issue: 109(5), P. 751 - 766

Published: Feb. 17, 2021

Language: Английский

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Methodological considerations for studying neural oscillations

European Journal of Neuroscience, Journal Year: 2021, Volume and Issue: 55(11-12), P. 3502 - 3527

Published: July 16, 2021

Neural oscillations are ubiquitous across recording methodologies and species, broadly associated with cognitive tasks, amenable to computational modelling that investigates neural circuit generating mechanisms population dynamics. Because of this, offer an exciting potential opportunity for linking theory, physiology cognition. However, despite their prevalence, there many concerns-new old-about how our analysis assumptions violated by known properties field data. For investigations be properly interpreted, ultimately developed into mechanistic theories, it is necessary carefully consider the underlying methods we employ. Here, discuss seven methodological considerations analysing oscillations. The (1) verify presence oscillations, as they may absent; (2) validate oscillation band definitions, address variable peak frequencies; (3) account concurrent non-oscillatory aperiodic activity, which might otherwise confound measures; measure (4) temporal variability (5) waveform shape often bursty and/or nonsinusoidal, potentially leading spurious results; (6) separate spatially overlapping rhythms, interfere each other; (7) required signal-to-noise ratio obtaining reliable estimates. topic, provide relevant examples, demonstrate errors interpretation, suggestions these issues. We primarily focus on univariate measures, such power phase estimates, though issues can propagate multivariate measures. These recommendations a helpful guide measuring interpreting

Language: Английский

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Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations

Neuroinformatics, Journal Year: 2022, Volume and Issue: 20(4), P. 991 - 1012

Published: April 7, 2022

Electrophysiological power spectra typically consist of two components: An aperiodic part usually following an 1/f law [Formula: see text] and periodic components appearing as spectral peaks. While the investigation parts, commonly referred to neural oscillations, has received considerable attention, study only recently gained more interest. The is quantified by center frequencies, powers, bandwidths, while parameterized y-intercept exponent text]. For either part, however, it essential separate components. In this article, we scrutinize frequently used methods, FOOOF (Fitting Oscillations & One-Over-F) IRASA (Irregular Resampling Auto-Spectral Analysis), that are from component. We evaluate these methods using diverse obtained with electroencephalography (EEG), magnetoencephalography (MEG), local field potential (LFP) recordings relating three independent research datasets. Each method each dataset poses distinct challenges for extraction both parts. specific features hindering separation highlighted simulations emphasizing features. Through comparison simulation parameters defined a priori, parameterization error quantified. Based on real simulated spectra, advantages discuss common challenges, note which impede separation, assess computational costs, propose recommendations how use them.

Language: Английский

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Advances in human intracranial electroencephalography research, guidelines and good practices

NeuroImage, Journal Year: 2022, Volume and Issue: 260, P. 119438 - 119438

Published: July 2, 2022

Since the second half of twentieth century, intracranial electroencephalography (iEEG), including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG), has provided an intimate view into human brain. At interface between fundamental research clinic, iEEG provides high temporal resolution spatial specificity but comes with constraints, such as individual's tailored sparsity electrode sampling. Over years, researchers in neuroscience developed their practices to make most approach. Here we offer a critical review didactic framework for newcomers, well addressing issues encountered by proficient researchers. The scope is threefold: (i) common research, (ii) suggest potential guidelines working data answer frequently asked questions based on widespread practices, (iii) current neurophysiological knowledge methodologies, pave way good practice standards research. organization this paper follows steps processing. first section contextualizes collection. focuses localization electrodes. third highlights main pre-processing steps. fourth presents signal analysis methods. fifth discusses statistical approaches. sixth draws some unique perspectives Finally, ensure consistent nomenclature throughout manuscript align other guidelines, e.g., Brain Imaging Data Structure (BIDS) OHBM Committee Best Practices Analysis Sharing (COBIDAS), provide glossary disambiguate terms related

Language: Английский

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Spectral parameterization for studying neurodevelopment: How and why

Developmental Cognitive Neuroscience, Journal Year: 2022, Volume and Issue: 54, P. 101073 - 101073

Published: Jan. 15, 2022

A growing body of literature suggests that the explicit parameterization neural power spectra is important for appropriate physiological interpretation periodic and aperiodic electroencephalogram (EEG) activity. In this paper, we discuss why an imperative step developmental cognitive neuroscientists interested in cognition behavior across lifespan, as well how can be readily accomplished with automated spectral ("specparam") algorithm (Donoghue et al., 2020a). We provide annotated code parameterization, via specparam, Jupyter Notebook R Studio. then apply to EEG data childhood (N = 60; Mage 9.97, SD 0.95) illustrate its utility neuroscientists. Ultimately, may help us refine our understanding dynamic communication contributes normative aberrant lifespan. Data analysis manuscript are available on GitHub a supplement open-access specparam toolbox.

Language: Английский

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Theta oscillations shift towards optimal frequency for cognitive control

Nature Human Behaviour, Journal Year: 2022, Volume and Issue: 6(7), P. 1000 - 1013

Published: April 21, 2022

Language: Английский

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Decomposing age effects in EEG alpha power

Cortex, Journal Year: 2023, Volume and Issue: 161, P. 116 - 144

Published: Feb. 22, 2023

Increasing life expectancy is prompting the need to understand how brain changes during healthy aging. Research utilizing electroencephalography (EEG) has found that power of alpha oscillations decrease from adulthood on. However, non-oscillatory (aperiodic) components in data may confound results and thus require re-investigation these findings. Thus, present report analyzed a pilot two additional independent samples (total N = 533) resting-state EEG young elderly individuals. A newly developed algorithm was utilized allows decomposition measured signal into periodic aperiodic components. By using multivariate sequential Bayesian updating age effect each component, evidence across datasets accumulated. It hypothesized previously reported age-related differences will largely diminish when total adjusted for component. First, replicated. Concurrently, decreases intercept slope (i.e. exponent) component were observed. Findings on aperiodic-adjusted indicated this general shift spectrum leads an overestimation true effects conventional analyses power. importance separating neural spectra highlighted. also after accounting confounding factors, analysis provided robust aging associated with decreased While relation cognitive decline demands further investigation, consistent findings high test-retest reliabilities support emerging measures are reliable markers brain. Hence, previous interpretations reevaluated, incorporating signal.

Language: Английский

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Beta: bursts of cognition

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(7), P. 662 - 676

Published: April 23, 2024

Beta oscillations are linked to the control of goal-directed processing sensory information and timing motor output. Recent evidence demonstrates they not sustained but organized into intermittent high-power bursts mediating timely functional inhibition. This implies there is a considerable moment-to-moment variation in neural dynamics supporting cognition. thus offer new opportunities for studying how inputs selectively processed, reshaped by inhibitory cognitive operations ultimately result actions. method advances reveal diversity beta that provide deeper insights their function underlying circuit activity motifs. We propose brain-wide, spatiotemporal patterns bursting reflect various nonlinear aspects cortical processing.

Language: Английский

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Oscillatory brain activity and maintenance of verbal and visual working memory: A systematic review

Psychophysiology, Journal Year: 2020, Volume and Issue: 59(5)

Published: Dec. 5, 2020

Abstract Brain oscillations likely play a significant role in the storage of information working memory (WM). Despite wide popularity topic, current attempts to summarize research field are narrative reviews. We address this gap by providing descriptive systematic review, which we investigated oscillatory correlates maintenance verbal and visual WM. The approach enabled us challenge some common views popularized previous research. identified literature (100 EEG/MEG studies) highlighted importance theta WM: frontal midline enhanced with load most studies, while more equivocal results have been obtained studies. Increasing WM affected alpha activity but direction effect was inconsistent: ratio studies that found increase versus decrease increasing 80/20% domain close 60/40% domain. Alpha asymmetry (left < right) finding both Beta gamma yielded least convincing data: diversity spatial frequency distribution beta prevented from making coherent conclusion; rhythm virtually neglected no support for sustained changes during delay EEG general.

Language: Английский

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